Mega Millions Results
On Tuesday night, November 26, 2024, the Mega Millions draw in West Virginia brought 05 22 24 39 42 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on November 26, 2024 in West Virginia.
Draw times: Evening.
Our take on the Mega Millions results
November 26, 2024Mega Millions report — Tuesday night, November 26, 2024: 05 22 24 39 42 shows a notable pattern
On Tuesday night, November 26, 2024, the Mega Millions draw in West Virginia brought 05 22 24 39 42 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, November 26, 2024, the Mega Millions draw in West Virginia brought 05 22 24 39 42 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
As a number pattern, 05 22 24 39 42 uses 5 distinct numbers and a wide spread from 5 to 42.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
Across the long-horizon record, this return adds one more entry to the record. Long-horizon stability comes from accumulation.